What I've done recently

I've recently worked on several interesting projects related to data science and data analysis. Here are some of my favourites.

Swimming Simulator and LENEX Data Processor
A swimming analytics platform that processes LENEX meet data, predicts split-level performance, and simulates race outcomes including rankings, medal probabilities, and animated race playback.
Simulation
LENEX
Machine Learning
Simulation for Cricket
A machine learning-based cricket simulator that predicts delivery outcomes, enabling match simulations, scorecards, and batting position optimization in Twenty20 cricket.
Machine Learning
Cricket
Simulation
NHL In-Game Win Probability Predictor
A hybrid sport analytics project that combines structured NHL game data with unstructured commentary and Reddit discussions to support in-game win probability prediction.
Hockey
Prediction
Arts Dashboarad
A visual summary of Canada Council for the Arts grants from 2017–2024, showing funding trends, recipient types, and distributions across disciplines and regions.
Dashboard
Arts
In-game Winner Prediction and Strategy Generation for Cricket
A cricket analytics application that predicts in-game winning probabilities and supports strategy analysis using live match context.
Sports
Cricket
Strategy Generation
Software Developer Analysis
Analysis of data professionals' career aspects and software developers' learning preferences in their career development.
Dashboard
PowerBI
Sampling

Open Source

Matplotlib Animated Plot
This is a simple jupyter notebook that attempts to create and customize an animated plot using matplotlib library. The sample dataset was sourced from the in-game win probabilities generated by one of the models that power the web application at http://predictors.shinyapps.io/wpsg/. You may change the dataset fields and the plot parameters to customize the plot according to your requirements.